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Meet
NuPlay AI's in-house LLM for enterprise voice, self-hosted, sub-1-second, and tuned on your production data. Here's what changes.
<1sec
end-to-end voice latency, in production
Zero
third-party model dependencies
100%
self-hosted, your infrastructure
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Three things that change with Astra
Calls that don't feel robotic or laggy
Built for time-to-first-token, delivering sub-1-second voice latency in production, not just the lab.
Built for complete data control
Self-hosted with no shared LLMs. Your conversations stay private, secure, and fully under your control.
Built around your data, not the internet
Continuously tuned on your production conversations to improve outcomes and reduce escalations.
Your voice agent has a silent owner
Access can change overnight
A provider updates terms, revokes a model version, or re-prioritizes capacity, and your production agents inherit the outage. You didn't choose the timing.
Access can change overnight
Token-based pricing means your cost grows exactly as your usage grows. There's no version of success that doesn't also increase the bill per conversation.
Your data trains someone else's model
Every production call is a tuning signal. On a third-party model, that signal benefits the provider's roadmap, not the system you're actually running.
Full-stack ownership isn't a feature.
It's a different category.
Owns the model
Self-hosted infrastructure
Exposed to third-party access changes
Tuned on your production data
Cost model
Platform assemblers
Full-stack, model-dependent
by NUPLAY AI
Astra isn't a model you plug in. It's the centre of a system built to run voice agents in production
A token-efficient language layer built for LLM-native use.
Continuous quality control for voice agents in production.
Define, test, and refine agent behavior.
